An assessment of generative artificial intelligence in responding to clinical queries on tapering antidepressants
Generative AI is having a transformative impact on healthcare, including how healthcare professionals and patients access information about clinical queries, such as antidepressant tapering. The study findings show that GPT-4 was able to provide relevant and safety-conscious responses on antidepressant tapering. However, performance issues such as inconsistencies and inaccuracies in tapering recommendations highlight the important role that healthcare professionals continue to play in providing patients with clinically trained, professional support in safely managing health-related issues. Further research on developing AI evaluation tools is needed to ensure consistency in the approaches used in evaluating the performance of AI in addressing clinical queries.
Authors
- Cathal Cadogan (ORCID: https://orcid.org/0000-0002-8778-0112)
- Martinez Oscar
- Miriam Boland (ORCID: https://orcid.org/0000-0003-0865-2794)
Institutions
- Trinity College Dublin (IE)
Publication Details
- Journal
- Research in Social and Administrative Pharmacy
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1016/j.sapharm.2025.06.107
- Citations
- 2
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- Trinity College Dublin